The package NMF defines methods for the function
residuals that returns the final
residuals of an NMF fit or the track of the residuals
along the fit process, computed according to the
objective function associated with the algorithm that
fitted the model.
residuals<- sets the value of the last residuals,
or, optionally, of the complete residual track.
Tells if an
NMFfit object contains a recorded
trackError adds a residual value to the track of
residuals(object, ...) ## S4 method for signature 'NMFfit' residuals(object, track = FALSE, niter = NULL, ...) residuals(object, ...)<-value ## S4 replacement method for signature 'NMFfit' residuals(object, ..., niter = NULL, track = FALSE)<-value hasTrack(object, niter = NULL) trackError(object, value, niter, force = FALSE)
extra parameters (not used)
a logical that indicates if the complete track of residuals should be returned (if it has been computed during the fit), or only the last value.
specifies the iteration number for which one
wants to get/set/test a residual value. This argument is
used only if not
logical that indicates if the value should
be added to the track even if there already is a value
for this iteration number or if the iteration does not
conform to the tracking interval
When called with
track=TRUE, the whole residuals
track is returned, if available. Note that method
nmf does not compute the residuals track,
unless explicitly required.
It is a S4 methods defined for the associated generic
functions from package
residuals returns a single numeric value if
track=FALSE or a numeric vector containing the
residual values at some iterations. The names correspond
to the iterations at which the residuals were computed.
signature(object = "NMFfit"):
Returns the residuals – track – between the target
matrix and the NMF fit
signature(object = "NMFfitX"):
Returns the residuals achieved by the best fit object,
i.e. the lowest residual approximation error achieved
across all NMF runs.
Stricly speaking, the method
not fulfill its contract as defined by the package
stats, but rather acts as function
deviance. The might be changed in a later release
to make it behave as it should.
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